Dataset statistics
| Number of variables | 31 |
|---|---|
| Number of observations | 72413 |
| Missing cells | 139581 |
| Missing cells (%) | 6.2% |
| Duplicate rows | 3 |
| Duplicate rows (%) | < 0.1% |
| Total size in memory | 17.1 MiB |
| Average record size in memory | 248.0 B |
Variable types
| Numeric | 15 |
|---|---|
| Categorical | 16 |
inning has constant value "2" | Constant |
is_super_over has constant value "0" | Constant |
| Dataset has 3 (< 0.1%) duplicate rows | Duplicates |
batsman has a high cardinality: 445 distinct values | High cardinality |
non_striker has a high cardinality: 439 distinct values | High cardinality |
bowler has a high cardinality: 346 distinct values | High cardinality |
fielder has a high cardinality: 390 distinct values | High cardinality |
total_runs_x is highly overall correlated with city and 2 other fields | High correlation |
over is highly overall correlated with curr_score and 3 other fields | High correlation |
wide_runs is highly overall correlated with extra_runs and 1 other fields | High correlation |
legbye_runs is highly overall correlated with extra_runs | High correlation |
batsman_runs is highly overall correlated with total_runs_y and 1 other fields | High correlation |
extra_runs is highly overall correlated with wide_runs and 4 other fields | High correlation |
total_runs_y is highly overall correlated with wide_runs and 3 other fields | High correlation |
curr_score is highly overall correlated with over and 4 other fields | High correlation |
runs_left is highly overall correlated with total_runs_x and 4 other fields | High correlation |
ball_left is highly overall correlated with over and 3 other fields | High correlation |
wickets is highly overall correlated with over and 3 other fields | High correlation |
req_rr is highly overall correlated with total_runs_x | High correlation |
result is highly overall correlated with total_runs_x | High correlation |
player_dismissed is highly overall correlated with dismissal_kind | High correlation |
penalty_runs is highly overall correlated with extra_runs | High correlation |
bye_runs is highly overall correlated with extra_runs | High correlation |
dismissal_kind is highly overall correlated with batsman_runs and 1 other fields | High correlation |
match_id is highly overall correlated with city | High correlation |
city is highly overall correlated with match_id and 4 other fields | High correlation |
winner is highly overall correlated with city and 2 other fields | High correlation |
batting_team is highly overall correlated with city and 1 other fields | High correlation |
bowling_team is highly overall correlated with city and 1 other fields | High correlation |
curr_rr is highly overall correlated with curr_score | High correlation |
city has 832 (1.1%) missing values | Missing |
dismissal_kind has 68860 (95.1%) missing values | Missing |
fielder has 69855 (96.5%) missing values | Missing |
wide_runs has 70186 (96.9%) zeros | Zeros |
legbye_runs has 71246 (98.4%) zeros | Zeros |
batsman_runs has 28989 (40.0%) zeros | Zeros |
extra_runs has 68564 (94.7%) zeros | Zeros |
total_runs_y has 25895 (35.8%) zeros | Zeros |
curr_score has 818 (1.1%) zeros | Zeros |
curr_rr has 818 (1.1%) zeros | Zeros |
Reproduction
| Analysis started | 2022-12-14 02:04:43.092793 |
|---|---|
| Analysis finished | 2022-12-14 02:06:14.224999 |
| Duration | 1 minute and 31.13 seconds |
| Software version | pandas-profiling vv3.5.0 |
| Download configuration | config.json |
match_id
Real number (ℝ)
| Distinct | 625 |
|---|---|
| Distinct (%) | 0.9% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 2081.5187 |
| Minimum | 1 |
|---|---|
| Maximum | 11415 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 62 |
| Q1 | 192 |
| median | 396 |
| Q3 | 569 |
| 95-th percentile | 11320 |
| Maximum | 11415 |
| Range | 11414 |
| Interquartile range (IQR) | 377 |
Descriptive statistics
| Standard deviation | 3724.7717 |
|---|---|
| Coefficient of variation (CV) | 1.789449 |
| Kurtosis | 1.1923904 |
| Mean | 2081.5187 |
| Median Absolute Deviation (MAD) | 191 |
| Skewness | 1.7220164 |
| Sum | 1.5072902 × 108 |
| Variance | 13873925 |
| Monotonicity | Increasing |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 570 | 134 | 0.2% |
| 534 | 134 | 0.2% |
| 553 | 131 | 0.2% |
| 7909 | 130 | 0.2% |
| 7924 | 130 | 0.2% |
| 126 | 130 | 0.2% |
| 211 | 129 | 0.2% |
| 7905 | 129 | 0.2% |
| 257 | 129 | 0.2% |
| 502 | 129 | 0.2% |
| Other values (615) | 71108 |
| Value | Count | Frequency (%) |
| 1 | 123 | |
| 5 | 124 | |
| 7 | 126 | |
| 8 | 89 | |
| 10 | 113 | |
| 11 | 104 | |
| 12 | 119 | |
| 14 | 124 | |
| 15 | 121 | |
| 18 | 123 |
| Value | Count | Frequency (%) |
| 11415 | 124 | |
| 11414 | 116 | |
| 11413 | 124 | |
| 11412 | 113 | |
| 11347 | 100 | |
| 11346 | 114 | |
| 11345 | 123 | |
| 11344 | 98 | |
| 11343 | 113 | |
| 11342 | 122 |
| Distinct | 29 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 832 |
| Missing (%) | 1.1% |
| Memory size | 1.1 MiB |
| Mumbai | |
|---|---|
| Kolkata | |
| Delhi | |
| Hyderabad | |
| Chennai | |
| Other values (24) |
Length
| Max length | 14 |
|---|---|
| Median length | 13 |
| Mean length | 7.4843604 |
| Min length | 4 |
Characters and Unicode
| Total characters | 535738 |
|---|---|
| Distinct characters | 41 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Hyderabad |
|---|---|
| 2nd row | Hyderabad |
| 3rd row | Hyderabad |
| 4th row | Hyderabad |
| 5th row | Hyderabad |
Common Values
| Value | Count | Frequency (%) |
| Mumbai | 9911 | |
| Kolkata | 7805 | |
| Delhi | 7280 | |
| Hyderabad | 6523 | |
| Chennai | 6317 | |
| Bangalore | 5927 | 8.2% |
| Jaipur | 4835 | 6.7% |
| Chandigarh | 4572 | 6.3% |
| Durban | 1725 | 2.4% |
| Bengaluru | 1610 | 2.2% |
| Other values (19) | 15076 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| mumbai | 9911 | |
| kolkata | 7805 | |
| delhi | 7280 | |
| hyderabad | 6523 | 8.8% |
| chennai | 6317 | 8.5% |
| bangalore | 5927 | 8.0% |
| jaipur | 4835 | 6.5% |
| chandigarh | 4572 | 6.2% |
| durban | 1725 | 2.3% |
| bengaluru | 1610 | 2.2% |
| Other values (23) | 17677 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 93669 | |
| i | 39889 | 7.4% |
| n | 36410 | 6.8% |
| e | 35889 | 6.7% |
| h | 32050 | 6.0% |
| r | 31843 | 5.9% |
| l | 26282 | 4.9% |
| u | 25654 | 4.8% |
| b | 23219 | 4.3% |
| d | 21344 | 4.0% |
| Other values (31) | 169489 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 458955 | |
| Uppercase Letter | 74182 | 13.8% |
| Space Separator | 2601 | 0.5% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 93669 | |
| i | 39889 | |
| n | 36410 | 7.9% |
| e | 35889 | 7.8% |
| h | 32050 | 7.0% |
| r | 31843 | 6.9% |
| l | 26282 | 5.7% |
| u | 25654 | 5.6% |
| b | 23219 | 5.1% |
| d | 21344 | 4.7% |
| Other values (13) | 92706 |
Uppercase Letter
| Value | Count | Frequency (%) |
| C | 13555 | |
| M | 11113 | |
| D | 10825 | |
| K | 8163 | |
| B | 7786 | |
| H | 6523 | |
| J | 5780 | |
| A | 2174 | 2.9% |
| P | 2128 | 2.9% |
| R | 1277 | 1.7% |
| Other values (7) | 4858 | 6.5% |
Space Separator
| Value | Count | Frequency (%) |
| 2601 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 533137 | |
| Common | 2601 | 0.5% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 93669 | |
| i | 39889 | 7.5% |
| n | 36410 | 6.8% |
| e | 35889 | 6.7% |
| h | 32050 | 6.0% |
| r | 31843 | 6.0% |
| l | 26282 | 4.9% |
| u | 25654 | 4.8% |
| b | 23219 | 4.4% |
| d | 21344 | 4.0% |
| Other values (30) | 166888 |
Common
| Value | Count | Frequency (%) |
| 2601 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 535738 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 93669 | |
| i | 39889 | 7.4% |
| n | 36410 | 6.8% |
| e | 35889 | 6.7% |
| h | 32050 | 6.0% |
| r | 31843 | 5.9% |
| l | 26282 | 4.9% |
| u | 25654 | 4.8% |
| b | 23219 | 4.3% |
| d | 21344 | 4.0% |
| Other values (31) | 169489 |
winner
Categorical
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 27 |
| Missing (%) | < 0.1% |
| Memory size | 1.1 MiB |
| Mumbai Indians | |
|---|---|
| Chennai Super Kings | |
| Kolkata Knight Riders | |
| Kings XI Punjab | |
| Rajasthan Royals | |
| Other values (5) |
Length
| Max length | 27 |
|---|---|
| Median length | 19 |
| Mean length | 18.004946 |
| Min length | 14 |
Characters and Unicode
| Total characters | 1303306 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sunrisers Hyderabad |
|---|---|
| 2nd row | Sunrisers Hyderabad |
| 3rd row | Sunrisers Hyderabad |
| 4th row | Sunrisers Hyderabad |
| 5th row | Sunrisers Hyderabad |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 11681 | |
| Chennai Super Kings | 10955 | |
| Kolkata Knight Riders | 9338 | |
| Kings XI Punjab | 8390 | |
| Rajasthan Royals | 8086 | |
| Royal Challengers Bangalore | 7792 | |
| Delhi Daredevils | 6363 | |
| Sunrisers Hyderabad | 5645 | |
| Deccan Chargers | 2952 | 4.1% |
| Delhi Capitals | 1184 | 1.6% |
| (Missing) | 27 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| kings | 19345 | 10.7% |
| mumbai | 11681 | 6.4% |
| indians | 11681 | 6.4% |
| chennai | 10955 | 6.0% |
| super | 10955 | 6.0% |
| kolkata | 9338 | 5.2% |
| knight | 9338 | 5.2% |
| riders | 9338 | 5.2% |
| xi | 8390 | 4.6% |
| punjab | 8390 | 4.6% |
| Other values (12) | 71836 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 150820 | 11.6% |
| n | 114612 | 8.8% |
| 108861 | 8.4% | |
| i | 93077 | 7.1% |
| e | 92091 | 7.1% |
| s | 86117 | 6.6% |
| r | 65079 | 5.0% |
| l | 63686 | 4.9% |
| g | 47219 | 3.6% |
| h | 46670 | 3.6% |
| Other values (23) | 435074 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1004808 | |
| Uppercase Letter | 189637 | 14.6% |
| Space Separator | 108861 | 8.4% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 150820 | |
| n | 114612 | |
| i | 93077 | |
| e | 92091 | |
| s | 86117 | |
| r | 65079 | 6.5% |
| l | 63686 | 6.3% |
| g | 47219 | 4.7% |
| h | 46670 | 4.6% |
| d | 38672 | 3.8% |
| Other values (11) | 206765 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 38021 | |
| R | 33302 | |
| C | 22883 | |
| I | 20071 | |
| D | 16862 | |
| S | 16600 | |
| M | 11681 | 6.2% |
| P | 8390 | 4.4% |
| X | 8390 | 4.4% |
| B | 7792 | 4.1% |
Space Separator
| Value | Count | Frequency (%) |
| 108861 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1194445 | |
| Common | 108861 | 8.4% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 150820 | 12.6% |
| n | 114612 | 9.6% |
| i | 93077 | 7.8% |
| e | 92091 | 7.7% |
| s | 86117 | 7.2% |
| r | 65079 | 5.4% |
| l | 63686 | 5.3% |
| g | 47219 | 4.0% |
| h | 46670 | 3.9% |
| d | 38672 | 3.2% |
| Other values (22) | 396402 |
Common
| Value | Count | Frequency (%) |
| 108861 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1303306 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 150820 | 11.6% |
| n | 114612 | 8.8% |
| 108861 | 8.4% | |
| i | 93077 | 7.1% |
| e | 92091 | 7.1% |
| s | 86117 | 6.6% |
| r | 65079 | 5.0% |
| l | 63686 | 4.9% |
| g | 47219 | 3.6% |
| h | 46670 | 3.6% |
| Other values (23) | 435074 |
total_runs_x
Real number (ℝ)
| Distinct | 142 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 165.58396 |
| Minimum | 65 |
|---|---|
| Maximum | 250 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 65 |
|---|---|
| 5-th percentile | 116 |
| Q1 | 146 |
| median | 165 |
| Q3 | 185 |
| 95-th percentile | 213 |
| Maximum | 250 |
| Range | 185 |
| Interquartile range (IQR) | 39 |
Descriptive statistics
| Standard deviation | 29.2822 |
|---|---|
| Coefficient of variation (CV) | 0.17684201 |
| Kurtosis | 0.30068104 |
| Mean | 165.58396 |
| Median Absolute Deviation (MAD) | 19 |
| Skewness | -0.10985878 |
| Sum | 11990431 |
| Variance | 857.44726 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 165 | 2071 | 2.9% |
| 164 | 1563 | 2.2% |
| 168 | 1463 | 2.0% |
| 171 | 1462 | 2.0% |
| 183 | 1445 | 2.0% |
| 148 | 1273 | 1.8% |
| 157 | 1229 | 1.7% |
| 178 | 1196 | 1.7% |
| 170 | 1188 | 1.6% |
| 187 | 1187 | 1.6% |
| Other values (132) | 58336 |
| Value | Count | Frequency (%) |
| 65 | 20 | < 0.1% |
| 67 | 87 | |
| 70 | 80 | |
| 74 | 110 | |
| 80 | 86 | |
| 81 | 89 | |
| 82 | 84 | |
| 92 | 166 | |
| 93 | 51 | 0.1% |
| 94 | 110 |
| Value | Count | Frequency (%) |
| 250 | 126 | 0.2% |
| 246 | 125 | 0.2% |
| 241 | 120 | 0.2% |
| 240 | 124 | 0.2% |
| 235 | 123 | 0.2% |
| 233 | 123 | 0.2% |
| 232 | 233 | |
| 231 | 369 | |
| 230 | 250 | |
| 227 | 125 | 0.2% |
inning
Categorical
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 2 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 2 |
|---|---|
| 2nd row | 2 |
| 3rd row | 2 |
| 4th row | 2 |
| 5th row | 2 |
Common Values
| Value | Count | Frequency (%) |
| 2 | 72413 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 2 | 72413 |
Most occurring characters
| Value | Count | Frequency (%) |
| 2 | 72413 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 2 | 72413 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 2 | 72413 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 2 | 72413 |
batting_team
Categorical
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| Royal Challengers Bangalore | |
|---|---|
| Kolkata Knight Riders | |
| Mumbai Indians | |
| Delhi Daredevils | |
| Kings XI Punjab | |
| Other values (5) |
Length
| Max length | 27 |
|---|---|
| Median length | 19 |
| Mean length | 18.220872 |
| Min length | 14 |
Characters and Unicode
| Total characters | 1319428 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Royal Challengers Bangalore |
|---|---|
| 2nd row | Royal Challengers Bangalore |
| 3rd row | Royal Challengers Bangalore |
| 4th row | Royal Challengers Bangalore |
| 5th row | Royal Challengers Bangalore |
Common Values
| Value | Count | Frequency (%) |
| Royal Challengers Bangalore | 9684 | |
| Kolkata Knight Riders | 9658 | |
| Mumbai Indians | 9063 | |
| Delhi Daredevils | 9034 | |
| Kings XI Punjab | 8701 | |
| Rajasthan Royals | 8543 | |
| Chennai Super Kings | 8487 | |
| Sunrisers Hyderabad | 4445 | |
| Deccan Chargers | 3633 | 5.0% |
| Delhi Capitals | 1165 | 1.6% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| kings | 17188 | 9.5% |
| delhi | 10199 | 5.6% |
| royal | 9684 | 5.3% |
| bangalore | 9684 | 5.3% |
| challengers | 9684 | 5.3% |
| kolkata | 9658 | 5.3% |
| knight | 9658 | 5.3% |
| riders | 9658 | 5.3% |
| mumbai | 9063 | 5.0% |
| indians | 9063 | 5.0% |
| Other values (12) | 77817 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 155058 | 11.8% |
| 108943 | 8.3% | |
| n | 106636 | 8.1% |
| e | 100107 | 7.6% |
| i | 87960 | 6.7% |
| s | 85401 | 6.5% |
| l | 77335 | 5.9% |
| r | 67148 | 5.1% |
| h | 50204 | 3.8% |
| g | 49847 | 3.8% |
| Other values (23) | 430789 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1020428 | |
| Uppercase Letter | 190057 | 14.4% |
| Space Separator | 108943 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 155058 | |
| n | 106636 | |
| e | 100107 | |
| i | 87960 | |
| s | 85401 | |
| l | 77335 | 7.6% |
| r | 67148 | 6.6% |
| h | 50204 | 4.9% |
| g | 49847 | 4.9% |
| o | 37569 | 3.7% |
| Other values (11) | 203163 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 36504 | |
| R | 36428 | |
| C | 22969 | |
| D | 22866 | |
| I | 17764 | |
| S | 12932 | 6.8% |
| B | 9684 | 5.1% |
| M | 9063 | 4.8% |
| X | 8701 | 4.6% |
| P | 8701 | 4.6% |
Space Separator
| Value | Count | Frequency (%) |
| 108943 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1210485 | |
| Common | 108943 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 155058 | 12.8% |
| n | 106636 | 8.8% |
| e | 100107 | 8.3% |
| i | 87960 | 7.3% |
| s | 85401 | 7.1% |
| l | 77335 | 6.4% |
| r | 67148 | 5.5% |
| h | 50204 | 4.1% |
| g | 49847 | 4.1% |
| o | 37569 | 3.1% |
| Other values (22) | 393220 |
Common
| Value | Count | Frequency (%) |
| 108943 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1319428 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 155058 | 11.8% |
| 108943 | 8.3% | |
| n | 106636 | 8.1% |
| e | 100107 | 7.6% |
| i | 87960 | 6.7% |
| s | 85401 | 6.5% |
| l | 77335 | 5.9% |
| r | 67148 | 5.1% |
| h | 50204 | 3.8% |
| g | 49847 | 3.8% |
| Other values (23) | 430789 |
bowling_team
Categorical
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| Mumbai Indians | |
|---|---|
| Chennai Super Kings | |
| Kings XI Punjab | |
| Royal Challengers Bangalore | |
| Kolkata Knight Riders | |
| Other values (5) |
Length
| Max length | 27 |
|---|---|
| Median length | 19 |
| Mean length | 18.018615 |
| Min length | 14 |
Characters and Unicode
| Total characters | 1304782 |
|---|---|
| Distinct characters | 33 |
| Distinct categories | 3 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | Sunrisers Hyderabad |
|---|---|
| 2nd row | Sunrisers Hyderabad |
| 3rd row | Sunrisers Hyderabad |
| 4th row | Sunrisers Hyderabad |
| 5th row | Sunrisers Hyderabad |
Common Values
| Value | Count | Frequency (%) |
| Mumbai Indians | 10807 | |
| Chennai Super Kings | 9456 | |
| Kings XI Punjab | 9387 | |
| Royal Challengers Bangalore | 8537 | |
| Kolkata Knight Riders | 8268 | |
| Rajasthan Royals | 7251 | |
| Delhi Daredevils | 6883 | |
| Sunrisers Hyderabad | 6524 | |
| Deccan Chargers | 4588 | |
| Delhi Capitals | 712 | 1.0% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| kings | 18843 | 10.4% |
| mumbai | 10807 | 6.0% |
| indians | 10807 | 6.0% |
| chennai | 9456 | 5.2% |
| super | 9456 | 5.2% |
| xi | 9387 | 5.2% |
| punjab | 9387 | 5.2% |
| royal | 8537 | 4.7% |
| challengers | 8537 | 4.7% |
| bangalore | 8537 | 4.7% |
| Other values (12) | 76720 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 150676 | 11.5% |
| n | 112461 | 8.6% |
| 108061 | 8.3% | |
| e | 96376 | 7.4% |
| i | 88163 | 6.8% |
| s | 86188 | 6.6% |
| r | 70429 | 5.4% |
| l | 64857 | 5.0% |
| g | 48773 | 3.7% |
| h | 45695 | 3.5% |
| Other values (23) | 433103 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 1006860 | |
| Uppercase Letter | 189861 | 14.6% |
| Space Separator | 108061 | 8.3% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 150676 | |
| n | 112461 | |
| e | 96376 | |
| i | 88163 | |
| s | 86188 | |
| r | 70429 | 7.0% |
| l | 64857 | 6.4% |
| g | 48773 | 4.8% |
| h | 45695 | 4.5% |
| d | 39006 | 3.9% |
| Other values (11) | 204236 |
Uppercase Letter
| Value | Count | Frequency (%) |
| K | 35379 | |
| R | 31307 | |
| C | 23293 | |
| I | 20194 | |
| D | 19066 | |
| S | 15980 | |
| M | 10807 | 5.7% |
| P | 9387 | 4.9% |
| X | 9387 | 4.9% |
| B | 8537 | 4.5% |
Space Separator
| Value | Count | Frequency (%) |
| 108061 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 1196721 | |
| Common | 108061 | 8.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 150676 | 12.6% |
| n | 112461 | 9.4% |
| e | 96376 | 8.1% |
| i | 88163 | 7.4% |
| s | 86188 | 7.2% |
| r | 70429 | 5.9% |
| l | 64857 | 5.4% |
| g | 48773 | 4.1% |
| h | 45695 | 3.8% |
| d | 39006 | 3.3% |
| Other values (22) | 394097 |
Common
| Value | Count | Frequency (%) |
| 108061 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 1304782 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 150676 | 11.5% |
| n | 112461 | 8.6% |
| 108061 | 8.3% | |
| e | 96376 | 7.4% |
| i | 88163 | 6.8% |
| s | 86188 | 6.6% |
| r | 70429 | 5.4% |
| l | 64857 | 5.0% |
| g | 48773 | 3.7% |
| h | 45695 | 3.5% |
| Other values (23) | 433103 |
over
Real number (ℝ)
| Distinct | 20 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 9.9557262 |
| Minimum | 1 |
|---|---|
| Maximum | 20 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 5 |
| median | 10 |
| Q3 | 15 |
| 95-th percentile | 19 |
| Maximum | 20 |
| Range | 19 |
| Interquartile range (IQR) | 10 |
Descriptive statistics
| Standard deviation | 5.5638665 |
|---|---|
| Coefficient of variation (CV) | 0.55886094 |
| Kurtosis | -1.1589334 |
| Mean | 9.9557262 |
| Median Absolute Deviation (MAD) | 5 |
| Skewness | 0.065215267 |
| Sum | 720924 |
| Variance | 30.95661 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=20)
| Value | Count | Frequency (%) |
| 1 | 3929 | 5.4% |
| 2 | 3924 | 5.4% |
| 3 | 3900 | 5.4% |
| 4 | 3872 | 5.3% |
| 6 | 3860 | 5.3% |
| 8 | 3858 | 5.3% |
| 5 | 3857 | 5.3% |
| 7 | 3851 | 5.3% |
| 9 | 3837 | 5.3% |
| 10 | 3811 | 5.3% |
| Other values (10) | 33714 |
| Value | Count | Frequency (%) |
| 1 | 3929 | |
| 2 | 3924 | |
| 3 | 3900 | |
| 4 | 3872 | |
| 5 | 3857 | |
| 6 | 3860 | |
| 7 | 3851 | |
| 8 | 3858 | |
| 9 | 3837 | |
| 10 | 3811 |
| Value | Count | Frequency (%) |
| 20 | 1943 | |
| 19 | 2818 | |
| 18 | 3227 | |
| 17 | 3450 | |
| 16 | 3554 | |
| 15 | 3645 | |
| 14 | 3726 | |
| 13 | 3783 | |
| 12 | 3782 | |
| 11 | 3786 |
ball
Real number (ℝ)
| Distinct | 9 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 3.6085648 |
| Minimum | 1 |
|---|---|
| Maximum | 9 |
| Zeros | 0 |
| Zeros (%) | 0.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 1 |
|---|---|
| 5-th percentile | 1 |
| Q1 | 2 |
| median | 4 |
| Q3 | 5 |
| 95-th percentile | 6 |
| Maximum | 9 |
| Range | 8 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 1.8065665 |
|---|---|
| Coefficient of variation (CV) | 0.50063296 |
| Kurtosis | -1.0866746 |
| Mean | 3.6085648 |
| Median Absolute Deviation (MAD) | 2 |
| Skewness | 0.099522406 |
| Sum | 261307 |
| Variance | 3.2636824 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=9)
| Value | Count | Frequency (%) |
| 1 | 11813 | |
| 2 | 11751 | |
| 3 | 11694 | |
| 4 | 11642 | |
| 5 | 11573 | |
| 6 | 11507 | |
| 7 | 2071 | 2.9% |
| 8 | 320 | 0.4% |
| 9 | 42 | 0.1% |
| Value | Count | Frequency (%) |
| 1 | 11813 | |
| 2 | 11751 | |
| 3 | 11694 | |
| 4 | 11642 | |
| 5 | 11573 | |
| 6 | 11507 | |
| 7 | 2071 | 2.9% |
| 8 | 320 | 0.4% |
| 9 | 42 | 0.1% |
| Value | Count | Frequency (%) |
| 9 | 42 | 0.1% |
| 8 | 320 | 0.4% |
| 7 | 2071 | 2.9% |
| 6 | 11507 | |
| 5 | 11573 | |
| 4 | 11642 | |
| 3 | 11694 | |
| 2 | 11751 | |
| 1 | 11813 |
batsman
Categorical
| Distinct | 445 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| G Gambhir | 1877 |
|---|---|
| V Kohli | 1745 |
| RG Sharma | 1499 |
| RV Uthappa | 1479 |
| S Dhawan | 1422 |
| Other values (440) |
Length
| Max length | 17 |
|---|---|
| Median length | 16 |
| Mean length | 9.2996838 |
| Min length | 5 |
Characters and Unicode
| Total characters | 673418 |
|---|---|
| Distinct characters | 53 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 16 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | CH Gayle |
|---|---|
| 2nd row | Mandeep Singh |
| 3rd row | Mandeep Singh |
| 4th row | Mandeep Singh |
| 5th row | Mandeep Singh |
Common Values
| Value | Count | Frequency (%) |
| G Gambhir | 1877 | 2.6% |
| V Kohli | 1745 | 2.4% |
| RG Sharma | 1499 | 2.1% |
| RV Uthappa | 1479 | 2.0% |
| S Dhawan | 1422 | 2.0% |
| JH Kallis | 1357 | 1.9% |
| AT Rayudu | 1332 | 1.8% |
| SK Raina | 1293 | 1.8% |
| SR Watson | 1241 | 1.7% |
| DA Warner | 1230 | 1.7% |
| Other values (435) | 57938 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| v | 2646 | 1.8% |
| s | 2592 | 1.7% |
| sr | 2168 | 1.5% |
| da | 1907 | 1.3% |
| g | 1877 | 1.3% |
| gambhir | 1877 | 1.3% |
| singh | 1872 | 1.3% |
| sharma | 1840 | 1.2% |
| de | 1821 | 1.2% |
| r | 1774 | 1.2% |
| Other values (602) | 128215 |
Most occurring characters
| Value | Count | Frequency (%) |
| 76176 | 11.3% | |
| a | 74932 | 11.1% |
| i | 32503 | 4.8% |
| n | 30444 | 4.5% |
| h | 29880 | 4.4% |
| r | 29477 | 4.4% |
| e | 27563 | 4.1% |
| S | 26711 | 4.0% |
| l | 26258 | 3.9% |
| s | 18343 | 2.7% |
| Other values (43) | 301131 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 392086 | |
| Uppercase Letter | 205084 | |
| Space Separator | 76176 | 11.3% |
| Dash Punctuation | 72 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 74932 | |
| i | 32503 | 8.3% |
| n | 30444 | 7.8% |
| h | 29880 | 7.6% |
| r | 29477 | 7.5% |
| e | 27563 | 7.0% |
| l | 26258 | 6.7% |
| s | 18343 | 4.7% |
| o | 15679 | 4.0% |
| t | 15275 | 3.9% |
| Other values (16) | 91732 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 26711 | |
| R | 18305 | 8.9% |
| K | 17009 | 8.3% |
| A | 16423 | 8.0% |
| M | 16220 | 7.9% |
| P | 14251 | 6.9% |
| D | 13153 | 6.4% |
| G | 10515 | 5.1% |
| V | 9791 | 4.8% |
| J | 9771 | 4.8% |
| Other values (15) | 52935 |
Space Separator
| Value | Count | Frequency (%) |
| 76176 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 72 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 597170 | |
| Common | 76248 | 11.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 74932 | 12.5% |
| i | 32503 | 5.4% |
| n | 30444 | 5.1% |
| h | 29880 | 5.0% |
| r | 29477 | 4.9% |
| e | 27563 | 4.6% |
| S | 26711 | 4.5% |
| l | 26258 | 4.4% |
| s | 18343 | 3.1% |
| R | 18305 | 3.1% |
| Other values (41) | 282754 |
Common
| Value | Count | Frequency (%) |
| 76176 | ||
| - | 72 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 673418 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 76176 | 11.3% | |
| a | 74932 | 11.1% |
| i | 32503 | 4.8% |
| n | 30444 | 4.5% |
| h | 29880 | 4.4% |
| r | 29477 | 4.4% |
| e | 27563 | 4.1% |
| S | 26711 | 4.0% |
| l | 26258 | 3.9% |
| s | 18343 | 2.7% |
| Other values (43) | 301131 |
non_striker
Categorical
| Distinct | 439 |
|---|---|
| Distinct (%) | 0.6% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| G Gambhir | 2002 |
|---|---|
| RG Sharma | 1604 |
| V Kohli | 1578 |
| S Dhawan | 1477 |
| RV Uthappa | 1428 |
| Other values (434) |
Length
| Max length | 17 |
|---|---|
| Median length | 16 |
| Mean length | 9.2902932 |
| Min length | 5 |
Characters and Unicode
| Total characters | 672738 |
|---|---|
| Distinct characters | 53 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 11 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | Mandeep Singh |
|---|---|
| 2nd row | CH Gayle |
| 3rd row | CH Gayle |
| 4th row | CH Gayle |
| 5th row | CH Gayle |
Common Values
| Value | Count | Frequency (%) |
| G Gambhir | 2002 | 2.8% |
| RG Sharma | 1604 | 2.2% |
| V Kohli | 1578 | 2.2% |
| S Dhawan | 1477 | 2.0% |
| RV Uthappa | 1428 | 2.0% |
| AT Rayudu | 1386 | 1.9% |
| SK Raina | 1358 | 1.9% |
| JH Kallis | 1310 | 1.8% |
| AM Rahane | 1306 | 1.8% |
| CH Gayle | 1242 | 1.7% |
| Other values (429) | 57722 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| s | 2642 | 1.8% |
| v | 2600 | 1.8% |
| sr | 2312 | 1.6% |
| sharma | 2014 | 1.4% |
| g | 2002 | 1.3% |
| gambhir | 2002 | 1.3% |
| r | 1774 | 1.2% |
| de | 1757 | 1.2% |
| da | 1756 | 1.2% |
| m | 1711 | 1.2% |
| Other values (599) | 127930 |
Most occurring characters
| Value | Count | Frequency (%) |
| 76087 | 11.3% | |
| a | 75819 | 11.3% |
| i | 31963 | 4.8% |
| n | 30339 | 4.5% |
| h | 29628 | 4.4% |
| r | 29552 | 4.4% |
| e | 27842 | 4.1% |
| S | 26908 | 4.0% |
| l | 25649 | 3.8% |
| R | 18709 | 2.8% |
| Other values (43) | 300242 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 391244 | |
| Uppercase Letter | 205338 | |
| Space Separator | 76087 | 11.3% |
| Dash Punctuation | 69 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 75819 | |
| i | 31963 | 8.2% |
| n | 30339 | 7.8% |
| h | 29628 | 7.6% |
| r | 29552 | 7.6% |
| e | 27842 | 7.1% |
| l | 25649 | 6.6% |
| s | 17921 | 4.6% |
| o | 15011 | 3.8% |
| d | 14911 | 3.8% |
| Other values (16) | 92609 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 26908 | |
| R | 18709 | 9.1% |
| K | 16881 | 8.2% |
| M | 16477 | 8.0% |
| A | 16288 | 7.9% |
| P | 14194 | 6.9% |
| D | 12624 | 6.1% |
| G | 10836 | 5.3% |
| V | 9772 | 4.8% |
| J | 9667 | 4.7% |
| Other values (15) | 52982 |
Space Separator
| Value | Count | Frequency (%) |
| 76087 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 69 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 596582 | |
| Common | 76156 | 11.3% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 75819 | 12.7% |
| i | 31963 | 5.4% |
| n | 30339 | 5.1% |
| h | 29628 | 5.0% |
| r | 29552 | 5.0% |
| e | 27842 | 4.7% |
| S | 26908 | 4.5% |
| l | 25649 | 4.3% |
| R | 18709 | 3.1% |
| s | 17921 | 3.0% |
| Other values (41) | 282252 |
Common
| Value | Count | Frequency (%) |
| 76087 | ||
| - | 69 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 672738 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 76087 | 11.3% | |
| a | 75819 | 11.3% |
| i | 31963 | 4.8% |
| n | 30339 | 4.5% |
| h | 29628 | 4.4% |
| r | 29552 | 4.4% |
| e | 27842 | 4.1% |
| S | 26908 | 4.0% |
| l | 25649 | 3.8% |
| R | 18709 | 2.8% |
| Other values (43) | 300242 |
bowler
Categorical
| Distinct | 346 |
|---|---|
| Distinct (%) | 0.5% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| Harbhajan Singh | 1622 |
|---|---|
| A Mishra | 1506 |
| SL Malinga | 1416 |
| R Ashwin | 1364 |
| PP Chawla | 1344 |
| Other values (341) |
Length
| Max length | 17 |
|---|---|
| Median length | 15 |
| Mean length | 9.493903 |
| Min length | 5 |
Characters and Unicode
| Total characters | 687482 |
|---|---|
| Distinct characters | 52 |
| Distinct categories | 4 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | A Nehra |
|---|---|
| 2nd row | A Nehra |
| 3rd row | A Nehra |
| 4th row | A Nehra |
| 5th row | A Nehra |
Common Values
| Value | Count | Frequency (%) |
| Harbhajan Singh | 1622 | 2.2% |
| A Mishra | 1506 | 2.1% |
| SL Malinga | 1416 | 2.0% |
| R Ashwin | 1364 | 1.9% |
| PP Chawla | 1344 | 1.9% |
| DW Steyn | 1077 | 1.5% |
| B Kumar | 1070 | 1.5% |
| DJ Bravo | 1053 | 1.5% |
| P Kumar | 1002 | 1.4% |
| I Sharma | 989 | 1.4% |
| Other values (336) | 59970 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| sharma | 4063 | 2.8% |
| singh | 3839 | 2.6% |
| r | 3800 | 2.6% |
| a | 3643 | 2.5% |
| kumar | 2938 | 2.0% |
| m | 2598 | 1.8% |
| s | 2571 | 1.7% |
| pp | 2326 | 1.6% |
| p | 2184 | 1.5% |
| sk | 1674 | 1.1% |
| Other values (488) | 117709 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 89013 | 12.9% |
| 74932 | 10.9% | |
| n | 36907 | 5.4% |
| h | 36569 | 5.3% |
| r | 36188 | 5.3% |
| i | 30536 | 4.4% |
| e | 27893 | 4.1% |
| S | 27634 | 4.0% |
| l | 22112 | 3.2% |
| M | 19202 | 2.8% |
| Other values (42) | 286496 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 420479 | |
| Uppercase Letter | 191861 | |
| Space Separator | 74932 | 10.9% |
| Dash Punctuation | 210 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 89013 | |
| n | 36907 | 8.8% |
| h | 36569 | 8.7% |
| r | 36188 | 8.6% |
| i | 30536 | 7.3% |
| e | 27893 | 6.6% |
| l | 22112 | 5.3% |
| o | 16336 | 3.9% |
| t | 16194 | 3.9% |
| m | 15585 | 3.7% |
| Other values (16) | 93146 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 27634 | |
| M | 19202 | |
| A | 17154 | 8.9% |
| P | 16388 | 8.5% |
| K | 14000 | 7.3% |
| R | 13115 | 6.8% |
| J | 12247 | 6.4% |
| B | 10613 | 5.5% |
| D | 8472 | 4.4% |
| C | 7768 | 4.0% |
| Other values (14) | 45268 |
Space Separator
| Value | Count | Frequency (%) |
| 74932 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 210 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 612340 | |
| Common | 75142 | 10.9% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 89013 | 14.5% |
| n | 36907 | 6.0% |
| h | 36569 | 6.0% |
| r | 36188 | 5.9% |
| i | 30536 | 5.0% |
| e | 27893 | 4.6% |
| S | 27634 | 4.5% |
| l | 22112 | 3.6% |
| M | 19202 | 3.1% |
| A | 17154 | 2.8% |
| Other values (40) | 269132 |
Common
| Value | Count | Frequency (%) |
| 74932 | ||
| - | 210 | 0.3% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 687482 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 89013 | 12.9% |
| 74932 | 10.9% | |
| n | 36907 | 5.4% |
| h | 36569 | 5.3% |
| r | 36188 | 5.3% |
| i | 30536 | 4.4% |
| e | 27893 | 4.1% |
| S | 27634 | 4.0% |
| l | 22112 | 3.2% |
| M | 19202 | 2.8% |
| Other values (42) | 286496 |
is_super_over
Categorical
| Distinct | 1 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 0 |
|---|
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 1 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 72413 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 72413 |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 72413 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 72413 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 72413 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 72413 |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.036692307 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 70186 |
| Zeros (%) | 96.9% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.24530921 |
|---|---|
| Coefficient of variation (CV) | 6.6855761 |
| Kurtosis | 187.54845 |
| Mean | 0.036692307 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 11.385234 |
| Sum | 2657 |
| Variance | 0.060176608 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 70186 | |
| 1 | 2042 | 2.8% |
| 2 | 90 | 0.1% |
| 5 | 74 | 0.1% |
| 3 | 19 | < 0.1% |
| 4 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 70186 | |
| 1 | 2042 | 2.8% |
| 2 | 90 | 0.1% |
| 3 | 19 | < 0.1% |
| 4 | 2 | < 0.1% |
| 5 | 74 | 0.1% |
| Value | Count | Frequency (%) |
| 5 | 74 | 0.1% |
| 4 | 2 | < 0.1% |
| 3 | 19 | < 0.1% |
| 2 | 90 | 0.1% |
| 1 | 2042 | 2.8% |
| 0 | 70186 |
bye_runs
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 0 | |
|---|---|
| 1 | 111 |
| 4 | 58 |
| 2 | 10 |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 72233 | |
| 1 | 111 | 0.2% |
| 4 | 58 | 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 72233 | |
| 1 | 111 | 0.2% |
| 4 | 58 | 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 72233 | |
| 1 | 111 | 0.2% |
| 4 | 58 | 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 72233 | |
| 1 | 111 | 0.2% |
| 4 | 58 | 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 72233 | |
| 1 | 111 | 0.2% |
| 4 | 58 | 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 72233 | |
| 1 | 111 | 0.2% |
| 4 | 58 | 0.1% |
| 2 | 10 | < 0.1% |
| 3 | 1 | < 0.1% |
| Distinct | 6 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.0212669 |
| Minimum | 0 |
|---|---|
| Maximum | 5 |
| Zeros | 71246 |
| Zeros (%) | 98.4% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 0 |
| Maximum | 5 |
| Range | 5 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.199127 |
|---|---|
| Coefficient of variation (CV) | 9.3632361 |
| Kurtosis | 241.88224 |
| Mean | 0.0212669 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 13.873947 |
| Sum | 1540 |
| Variance | 0.039651563 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=6)
| Value | Count | Frequency (%) |
| 0 | 71246 | |
| 1 | 1000 | 1.4% |
| 4 | 97 | 0.1% |
| 2 | 62 | 0.1% |
| 3 | 6 | < 0.1% |
| 5 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 71246 | |
| 1 | 1000 | 1.4% |
| 2 | 62 | 0.1% |
| 3 | 6 | < 0.1% |
| 4 | 97 | 0.1% |
| 5 | 2 | < 0.1% |
| Value | Count | Frequency (%) |
| 5 | 2 | < 0.1% |
| 4 | 97 | 0.1% |
| 3 | 6 | < 0.1% |
| 2 | 62 | 0.1% |
| 1 | 1000 | 1.4% |
| 0 | 71246 |
noball_runs
Categorical
| Distinct | 5 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 0 | |
|---|---|
| 1 | 267 |
| 5 | 5 |
| 2 | 1 |
| 3 | 1 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 5 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 2 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 72139 | |
| 1 | 267 | 0.4% |
| 5 | 5 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 72139 | |
| 1 | 267 | 0.4% |
| 5 | 5 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 72139 | |
| 1 | 267 | 0.4% |
| 5 | 5 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 72139 | |
| 1 | 267 | 0.4% |
| 5 | 5 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 72139 | |
| 1 | 267 | 0.4% |
| 5 | 5 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 72139 | |
| 1 | 267 | 0.4% |
| 5 | 5 | < 0.1% |
| 2 | 1 | < 0.1% |
| 3 | 1 | < 0.1% |
penalty_runs
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 0 | |
|---|---|
| 5 | 2 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 72411 | |
| 5 | 2 | < 0.1% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 72411 | |
| 5 | 2 | < 0.1% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 72411 | |
| 5 | 2 | < 0.1% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 72411 | |
| 5 | 2 | < 0.1% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 72411 | |
| 5 | 2 | < 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 72411 | |
| 5 | 2 | < 0.1% |
| Distinct | 8 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.2362145 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 28989 |
| Zeros (%) | 40.0% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.6035255 |
|---|---|
| Coefficient of variation (CV) | 1.2971257 |
| Kurtosis | 1.6549782 |
| Mean | 1.2362145 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.5887674 |
| Sum | 89518 |
| Variance | 2.5712941 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=8)
| Value | Count | Frequency (%) |
| 0 | 28989 | |
| 1 | 27123 | |
| 4 | 8250 | 11.4% |
| 2 | 4539 | 6.3% |
| 6 | 3227 | 4.5% |
| 3 | 240 | 0.3% |
| 5 | 40 | 0.1% |
| 7 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 28989 | |
| 1 | 27123 | |
| 2 | 4539 | 6.3% |
| 3 | 240 | 0.3% |
| 4 | 8250 | 11.4% |
| 5 | 40 | 0.1% |
| 6 | 3227 | 4.5% |
| 7 | 5 | < 0.1% |
| Value | Count | Frequency (%) |
| 7 | 5 | < 0.1% |
| 6 | 3227 | 4.5% |
| 5 | 40 | 0.1% |
| 4 | 8250 | 11.4% |
| 3 | 240 | 0.3% |
| 2 | 4539 | 6.3% |
| 1 | 27123 | |
| 0 | 28989 |
| Distinct | 7 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 0.067253118 |
| Minimum | 0 |
|---|---|
| Maximum | 7 |
| Zeros | 68564 |
| Zeros (%) | 94.7% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 0 |
| Q3 | 0 |
| 95-th percentile | 1 |
| Maximum | 7 |
| Range | 7 |
| Interquartile range (IQR) | 0 |
Descriptive statistics
| Standard deviation | 0.34451209 |
|---|---|
| Coefficient of variation (CV) | 5.1226188 |
| Kurtosis | 90.395879 |
| Mean | 0.067253118 |
| Median Absolute Deviation (MAD) | 0 |
| Skewness | 8.2173049 |
| Sum | 4870 |
| Variance | 0.11868858 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=7)
| Value | Count | Frequency (%) |
| 0 | 68564 | |
| 1 | 3420 | 4.7% |
| 2 | 162 | 0.2% |
| 4 | 157 | 0.2% |
| 5 | 82 | 0.1% |
| 3 | 27 | < 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 68564 | |
| 1 | 3420 | 4.7% |
| 2 | 162 | 0.2% |
| 3 | 27 | < 0.1% |
| 4 | 157 | 0.2% |
| 5 | 82 | 0.1% |
| 7 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 7 | 1 | < 0.1% |
| 5 | 82 | 0.1% |
| 4 | 157 | 0.2% |
| 3 | 27 | < 0.1% |
| 2 | 162 | 0.2% |
| 1 | 3420 | 4.7% |
| 0 | 68564 |
| Distinct | 10 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 1.3034676 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 25895 |
| Zeros (%) | 35.8% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 0 |
| Q1 | 0 |
| median | 1 |
| Q3 | 1 |
| 95-th percentile | 4 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 1 |
Descriptive statistics
| Standard deviation | 1.6033953 |
|---|---|
| Coefficient of variation (CV) | 1.2300998 |
| Kurtosis | 1.6917364 |
| Mean | 1.3034676 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | 1.5660181 |
| Sum | 94388 |
| Variance | 2.5708764 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=10)
| Value | Count | Frequency (%) |
| 1 | 29225 | |
| 0 | 25895 | |
| 4 | 8341 | 11.5% |
| 2 | 5266 | 7.3% |
| 6 | 3219 | 4.4% |
| 3 | 280 | 0.4% |
| 5 | 128 | 0.2% |
| 8 | 33 | < 0.1% |
| 7 | 17 | < 0.1% |
| 10 | 9 | < 0.1% |
| Value | Count | Frequency (%) |
| 0 | 25895 | |
| 1 | 29225 | |
| 2 | 5266 | 7.3% |
| 3 | 280 | 0.4% |
| 4 | 8341 | 11.5% |
| 5 | 128 | 0.2% |
| 6 | 3219 | 4.4% |
| 7 | 17 | < 0.1% |
| 8 | 33 | < 0.1% |
| 10 | 9 | < 0.1% |
| Value | Count | Frequency (%) |
| 10 | 9 | < 0.1% |
| 8 | 33 | < 0.1% |
| 7 | 17 | < 0.1% |
| 6 | 3219 | 4.4% |
| 5 | 128 | 0.2% |
| 4 | 8341 | 11.5% |
| 3 | 280 | 0.4% |
| 2 | 5266 | 7.3% |
| 1 | 29225 | |
| 0 | 25895 |
player_dismissed
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 0 | |
|---|---|
| 1 | 3553 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 0 | 68860 | |
| 1 | 3553 | 4.9% |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 0 | 68860 | |
| 1 | 3553 | 4.9% |
Most occurring characters
| Value | Count | Frequency (%) |
| 0 | 68860 | |
| 1 | 3553 | 4.9% |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 0 | 68860 | |
| 1 | 3553 | 4.9% |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 0 | 68860 | |
| 1 | 3553 | 4.9% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 0 | 68860 | |
| 1 | 3553 | 4.9% |
| Distinct | 9 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 68860 |
| Missing (%) | 95.1% |
| Memory size | 1.1 MiB |
| caught | |
|---|---|
| bowled | |
| run out | |
| lbw | |
| stumped | 120 |
| Other values (4) | 96 |
Length
| Max length | 21 |
|---|---|
| Median length | 6 |
| Mean length | 6.209682 |
| Min length | 3 |
Characters and Unicode
| Total characters | 22063 |
|---|---|
| Distinct characters | 21 |
| Distinct categories | 2 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 1 ? |
|---|---|
| Unique (%) | < 0.1% |
Sample
| 1st row | bowled |
|---|---|
| 2nd row | caught |
| 3rd row | run out |
| 4th row | caught |
| 5th row | caught |
Common Values
| Value | Count | Frequency (%) |
| caught | 2162 | 3.0% |
| bowled | 660 | 0.9% |
| run out | 292 | 0.4% |
| lbw | 223 | 0.3% |
| stumped | 120 | 0.2% |
| caught and bowled | 85 | 0.1% |
| retired hurt | 6 | < 0.1% |
| hit wicket | 4 | < 0.1% |
| obstructing the field | 1 | < 0.1% |
| (Missing) | 68860 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| caught | 2247 | |
| bowled | 745 | 18.5% |
| run | 292 | 7.3% |
| out | 292 | 7.3% |
| lbw | 223 | 5.5% |
| stumped | 120 | 3.0% |
| and | 85 | 2.1% |
| retired | 6 | 0.1% |
| hurt | 6 | 0.1% |
| hit | 4 | 0.1% |
| Other values (4) | 7 | 0.2% |
Most occurring characters
| Value | Count | Frequency (%) |
| u | 2958 | |
| t | 2682 | |
| a | 2332 | |
| h | 2258 | |
| c | 2252 | |
| g | 2248 | |
| o | 1038 | 4.7% |
| w | 972 | 4.4% |
| b | 969 | 4.4% |
| l | 969 | 4.4% |
| Other values (11) | 3385 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 21589 | |
| Space Separator | 474 | 2.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| u | 2958 | |
| t | 2682 | |
| a | 2332 | |
| h | 2258 | |
| c | 2252 | |
| g | 2248 | |
| o | 1038 | 4.8% |
| w | 972 | 4.5% |
| b | 969 | 4.5% |
| l | 969 | 4.5% |
| Other values (10) | 2911 |
Space Separator
| Value | Count | Frequency (%) |
| 474 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 21589 | |
| Common | 474 | 2.1% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| u | 2958 | |
| t | 2682 | |
| a | 2332 | |
| h | 2258 | |
| c | 2252 | |
| g | 2248 | |
| o | 1038 | 4.8% |
| w | 972 | 4.5% |
| b | 969 | 4.5% |
| l | 969 | 4.5% |
| Other values (10) | 2911 |
Common
| Value | Count | Frequency (%) |
| 474 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 22063 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| u | 2958 | |
| t | 2682 | |
| a | 2332 | |
| h | 2258 | |
| c | 2252 | |
| g | 2248 | |
| o | 1038 | 4.7% |
| w | 972 | 4.4% |
| b | 969 | 4.4% |
| l | 969 | 4.4% |
| Other values (11) | 3385 |
| Distinct | 390 |
|---|---|
| Distinct (%) | 15.2% |
| Missing | 69855 |
| Missing (%) | 96.5% |
| Memory size | 1.1 MiB |
| MS Dhoni | 64 |
|---|---|
| KD Karthik | 59 |
| SK Raina | 48 |
| WP Saha | 44 |
| AC Gilchrist | 41 |
| Other values (385) |
Length
| Max length | 21 |
|---|---|
| Median length | 19 |
| Mean length | 9.4655981 |
| Min length | 5 |
Characters and Unicode
| Total characters | 24213 |
|---|---|
| Distinct characters | 55 |
| Distinct categories | 6 ? |
| Distinct scripts | 2 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 100 ? |
|---|---|
| Unique (%) | 3.9% |
Sample
| 1st row | DA Warner |
|---|---|
| 2nd row | BCJ Cutting |
| 3rd row | Yuvraj Singh |
| 4th row | MC Henriques |
| 5th row | Yuvraj Singh |
Common Values
| Value | Count | Frequency (%) |
| MS Dhoni | 64 | 0.1% |
| KD Karthik | 59 | 0.1% |
| SK Raina | 48 | 0.1% |
| WP Saha | 44 | 0.1% |
| AC Gilchrist | 41 | 0.1% |
| KA Pollard | 41 | 0.1% |
| RG Sharma | 39 | 0.1% |
| NV Ojha | 37 | 0.1% |
| DJ Bravo | 37 | 0.1% |
| AB de Villiers | 36 | < 0.1% |
| Other values (380) | 2112 | 2.9% |
| (Missing) | 69855 |
Length
Histogram of lengths of the category
| Value | Count | Frequency (%) |
| s | 82 | 1.5% |
| m | 76 | 1.4% |
| r | 75 | 1.4% |
| sharma | 73 | 1.4% |
| dj | 71 | 1.3% |
| ms | 69 | 1.3% |
| patel | 67 | 1.3% |
| karthik | 65 | 1.2% |
| dhoni | 64 | 1.2% |
| singh | 62 | 1.2% |
| Other values (517) | 4601 |
Most occurring characters
| Value | Count | Frequency (%) |
| a | 2758 | 11.4% |
| 2747 | 11.3% | |
| i | 1240 | 5.1% |
| h | 1160 | 4.8% |
| n | 1080 | 4.5% |
| r | 1068 | 4.4% |
| S | 926 | 3.8% |
| e | 904 | 3.7% |
| l | 847 | 3.5% |
| K | 641 | 2.6% |
| Other values (45) | 10842 |
Most occurring categories
| Value | Count | Frequency (%) |
| Lowercase Letter | 14202 | |
| Uppercase Letter | 7168 | |
| Space Separator | 2747 | 11.3% |
| Open Punctuation | 46 | 0.2% |
| Close Punctuation | 46 | 0.2% |
| Dash Punctuation | 4 | < 0.1% |
Most frequent character per category
Lowercase Letter
| Value | Count | Frequency (%) |
| a | 2758 | |
| i | 1240 | 8.7% |
| h | 1160 | 8.2% |
| n | 1080 | 7.6% |
| r | 1068 | 7.5% |
| e | 904 | 6.4% |
| l | 847 | 6.0% |
| s | 635 | 4.5% |
| t | 597 | 4.2% |
| o | 565 | 4.0% |
| Other values (16) | 3348 |
Uppercase Letter
| Value | Count | Frequency (%) |
| S | 926 | |
| K | 641 | 8.9% |
| A | 618 | 8.6% |
| M | 584 | 8.1% |
| P | 545 | 7.6% |
| R | 539 | 7.5% |
| D | 500 | 7.0% |
| J | 370 | 5.2% |
| B | 338 | 4.7% |
| V | 283 | 3.9% |
| Other values (15) | 1824 |
Space Separator
| Value | Count | Frequency (%) |
| 2747 |
Open Punctuation
| Value | Count | Frequency (%) |
| ( | 46 |
Close Punctuation
| Value | Count | Frequency (%) |
| ) | 46 |
Dash Punctuation
| Value | Count | Frequency (%) |
| - | 4 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Latin | 21370 | |
| Common | 2843 | 11.7% |
Most frequent character per script
Latin
| Value | Count | Frequency (%) |
| a | 2758 | 12.9% |
| i | 1240 | 5.8% |
| h | 1160 | 5.4% |
| n | 1080 | 5.1% |
| r | 1068 | 5.0% |
| S | 926 | 4.3% |
| e | 904 | 4.2% |
| l | 847 | 4.0% |
| K | 641 | 3.0% |
| s | 635 | 3.0% |
| Other values (41) | 10111 |
Common
| Value | Count | Frequency (%) |
| 2747 | ||
| ( | 46 | 1.6% |
| ) | 46 | 1.6% |
| - | 4 | 0.1% |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 24213 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| a | 2758 | 11.4% |
| 2747 | 11.3% | |
| i | 1240 | 5.1% |
| h | 1160 | 4.8% |
| n | 1080 | 4.5% |
| r | 1068 | 4.4% |
| S | 926 | 3.8% |
| e | 904 | 3.7% |
| l | 847 | 3.5% |
| K | 641 | 2.6% |
| Other values (45) | 10842 |
| Distinct | 224 |
|---|---|
| Distinct (%) | 0.3% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 73.325577 |
| Minimum | 0 |
|---|---|
| Maximum | 223 |
| Zeros | 818 |
| Zeros (%) | 1.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 5 |
| Q1 | 34 |
| median | 70 |
| Q3 | 109 |
| 95-th percentile | 155 |
| Maximum | 223 |
| Range | 223 |
| Interquartile range (IQR) | 75 |
Descriptive statistics
| Standard deviation | 46.906255 |
|---|---|
| Coefficient of variation (CV) | 0.63969841 |
| Kurtosis | -0.73883557 |
| Mean | 73.325577 |
| Median Absolute Deviation (MAD) | 37 |
| Skewness | 0.3279981 |
| Sum | 5309725 |
| Variance | 2200.1968 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 0 | 818 | 1.1% |
| 1 | 815 | 1.1% |
| 10 | 610 | 0.8% |
| 4 | 610 | 0.8% |
| 5 | 585 | 0.8% |
| 60 | 584 | 0.8% |
| 61 | 573 | 0.8% |
| 6 | 567 | 0.8% |
| 2 | 564 | 0.8% |
| 68 | 547 | 0.8% |
| Other values (214) | 66140 |
| Value | Count | Frequency (%) |
| 0 | 818 | |
| 1 | 815 | |
| 2 | 564 | |
| 3 | 390 | |
| 4 | 610 | |
| 5 | 585 | |
| 6 | 567 | |
| 7 | 535 | |
| 8 | 540 | |
| 9 | 527 |
| Value | Count | Frequency (%) |
| 223 | 2 | < 0.1% |
| 222 | 5 | |
| 221 | 5 | |
| 220 | 1 | < 0.1% |
| 219 | 2 | < 0.1% |
| 218 | 2 | < 0.1% |
| 217 | 3 | |
| 216 | 4 | |
| 215 | 2 | < 0.1% |
| 214 | 3 |
runs_left
Real number (ℝ)
| Distinct | 257 |
|---|---|
| Distinct (%) | 0.4% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 92.258379 |
| Minimum | -16 |
|---|---|
| Maximum | 249 |
| Zeros | 175 |
| Zeros (%) | 0.2% |
| Negative | 389 |
| Negative (%) | 0.5% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -16 |
|---|---|
| 5-th percentile | 13 |
| Q1 | 53 |
| median | 92 |
| Q3 | 130 |
| 95-th percentile | 175 |
| Maximum | 249 |
| Range | 265 |
| Interquartile range (IQR) | 77 |
Descriptive statistics
| Standard deviation | 50.021962 |
|---|---|
| Coefficient of variation (CV) | 0.54219425 |
| Kurtosis | -0.73987709 |
| Mean | 92.258379 |
| Median Absolute Deviation (MAD) | 39 |
| Skewness | 0.14488524 |
| Sum | 6680706 |
| Variance | 2502.1967 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 112 | 547 | 0.8% |
| 96 | 530 | 0.7% |
| 105 | 528 | 0.7% |
| 79 | 519 | 0.7% |
| 103 | 516 | 0.7% |
| 94 | 516 | 0.7% |
| 98 | 509 | 0.7% |
| 77 | 509 | 0.7% |
| 76 | 509 | 0.7% |
| 97 | 506 | 0.7% |
| Other values (247) | 67224 |
| Value | Count | Frequency (%) |
| -16 | 1 | < 0.1% |
| -12 | 1 | < 0.1% |
| -11 | 1 | < 0.1% |
| -10 | 4 | < 0.1% |
| -9 | 5 | < 0.1% |
| -8 | 8 | < 0.1% |
| -7 | 5 | < 0.1% |
| -6 | 20 | < 0.1% |
| -5 | 21 | < 0.1% |
| -4 | 65 |
| Value | Count | Frequency (%) |
| 249 | 1 | < 0.1% |
| 248 | 1 | < 0.1% |
| 246 | 1 | < 0.1% |
| 242 | 2 | < 0.1% |
| 241 | 1 | < 0.1% |
| 240 | 1 | < 0.1% |
| 239 | 2 | < 0.1% |
| 236 | 6 | |
| 235 | 6 | |
| 234 | 1 | < 0.1% |
ball_left
Real number (ℝ)
| Distinct | 122 |
|---|---|
| Distinct (%) | 0.2% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 62.657078 |
| Minimum | -2 |
|---|---|
| Maximum | 119 |
| Zeros | 241 |
| Zeros (%) | 0.3% |
| Negative | 69 |
| Negative (%) | 0.1% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -2 |
|---|---|
| 5-th percentile | 9 |
| Q1 | 35 |
| median | 63 |
| Q3 | 92 |
| 95-th percentile | 114 |
| Maximum | 119 |
| Range | 121 |
| Interquartile range (IQR) | 57 |
Descriptive statistics
| Standard deviation | 33.404593 |
|---|---|
| Coefficient of variation (CV) | 0.53313359 |
| Kurtosis | -1.1539417 |
| Mean | 62.657078 |
| Median Absolute Deviation (MAD) | 28 |
| Skewness | -0.064780509 |
| Sum | 4537187 |
| Variance | 1115.8668 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 113 | 774 | 1.1% |
| 107 | 769 | 1.1% |
| 101 | 751 | 1.0% |
| 95 | 737 | 1.0% |
| 71 | 731 | 1.0% |
| 83 | 730 | 1.0% |
| 89 | 728 | 1.0% |
| 65 | 725 | 1.0% |
| 77 | 723 | 1.0% |
| 59 | 706 | 1.0% |
| Other values (112) | 65039 |
| Value | Count | Frequency (%) |
| -2 | 9 | < 0.1% |
| -1 | 60 | 0.1% |
| 0 | 241 | |
| 1 | 276 | |
| 2 | 305 | |
| 3 | 327 | |
| 4 | 366 | |
| 5 | 473 | |
| 6 | 416 | |
| 7 | 429 |
| Value | Count | Frequency (%) |
| 119 | 625 | |
| 118 | 625 | |
| 117 | 625 | |
| 116 | 625 | |
| 115 | 625 | |
| 114 | 626 | |
| 113 | 774 | |
| 112 | 650 | |
| 111 | 628 | |
| 110 | 624 |
wickets
Real number (ℝ)
| Distinct | 11 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.5359673 |
| Minimum | 0 |
|---|---|
| Maximum | 10 |
| Zeros | 67 |
| Zeros (%) | 0.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 848.6 KiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3 |
| Q1 | 6 |
| median | 8 |
| Q3 | 9 |
| 95-th percentile | 10 |
| Maximum | 10 |
| Range | 10 |
| Interquartile range (IQR) | 3 |
Descriptive statistics
| Standard deviation | 2.1386366 |
|---|---|
| Coefficient of variation (CV) | 0.28379059 |
| Kurtosis | 0.30093604 |
| Mean | 7.5359673 |
| Median Absolute Deviation (MAD) | 1 |
| Skewness | -0.89079641 |
| Sum | 545702 |
| Variance | 4.5737664 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=11)
| Value | Count | Frequency (%) |
| 9 | 14556 | |
| 10 | 14503 | |
| 8 | 12696 | |
| 7 | 10712 | |
| 6 | 7758 | |
| 5 | 4939 | 6.8% |
| 4 | 3121 | 4.3% |
| 3 | 2038 | 2.8% |
| 2 | 1252 | 1.7% |
| 1 | 771 | 1.1% |
| Value | Count | Frequency (%) |
| 0 | 67 | 0.1% |
| 1 | 771 | 1.1% |
| 2 | 1252 | 1.7% |
| 3 | 2038 | 2.8% |
| 4 | 3121 | 4.3% |
| 5 | 4939 | 6.8% |
| 6 | 7758 | |
| 7 | 10712 | |
| 8 | 12696 | |
| 9 | 14556 |
| Value | Count | Frequency (%) |
| 10 | 14503 | |
| 9 | 14556 | |
| 8 | 12696 | |
| 7 | 10712 | |
| 6 | 7758 | |
| 5 | 4939 | 6.8% |
| 4 | 3121 | 4.3% |
| 3 | 2038 | 2.8% |
| 2 | 1252 | 1.7% |
| 1 | 771 | 1.1% |
| Distinct | 5765 |
|---|---|
| Distinct (%) | 8.0% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Infinite | 0 |
| Infinite (%) | 0.0% |
| Mean | 7.4395235 |
| Minimum | 0 |
|---|---|
| Maximum | 42 |
| Zeros | 818 |
| Zeros (%) | 1.1% |
| Negative | 0 |
| Negative (%) | 0.0% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | 0 |
|---|---|
| 5-th percentile | 3.8029268 |
| Q1 | 6.2571429 |
| median | 7.4805195 |
| Q3 | 8.6823529 |
| 95-th percentile | 10.764706 |
| Maximum | 42 |
| Range | 42 |
| Interquartile range (IQR) | 2.4252101 |
Descriptive statistics
| Standard deviation | 2.2758499 |
|---|---|
| Coefficient of variation (CV) | 0.3059134 |
| Kurtosis | 7.2558193 |
| Mean | 7.4395235 |
| Median Absolute Deviation (MAD) | 1.2133581 |
| Skewness | 0.44854234 |
| Sum | 538718.21 |
| Variance | 5.1794928 |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 2038 | 2.8% |
| 0 | 818 | 1.1% |
| 9 | 758 | 1.0% |
| 8 | 757 | 1.0% |
| 7.5 | 494 | 0.7% |
| 3 | 490 | 0.7% |
| 12 | 434 | 0.6% |
| 10 | 373 | 0.5% |
| 4 | 357 | 0.5% |
| 7 | 354 | 0.5% |
| Other values (5755) | 65540 |
| Value | Count | Frequency (%) |
| 0 | 818 | |
| 0.4285714286 | 1 | < 0.1% |
| 0.4615384615 | 2 | < 0.1% |
| 0.5 | 1 | < 0.1% |
| 0.5454545455 | 3 | < 0.1% |
| 0.6 | 4 | < 0.1% |
| 0.6666666667 | 9 | < 0.1% |
| 0.75 | 16 | < 0.1% |
| 0.8571428571 | 22 | < 0.1% |
| 0.9230769231 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| 42 | 1 | < 0.1% |
| 36 | 3 | < 0.1% |
| 32 | 1 | < 0.1% |
| 30 | 8 | < 0.1% |
| 28 | 1 | < 0.1% |
| 27 | 1 | < 0.1% |
| 25.2 | 1 | < 0.1% |
| 24 | 66 | |
| 22 | 1 | < 0.1% |
| 21 | 5 | < 0.1% |
req_rr
Real number (ℝ)
| Distinct | 8997 |
|---|---|
| Distinct (%) | 12.4% |
| Missing | 7 |
| Missing (%) | < 0.1% |
| Infinite | 234 |
| Infinite (%) | 0.3% |
| Mean | nan |
| Minimum | -inf |
|---|---|
| Maximum | inf |
| Zeros | 168 |
| Zeros (%) | 0.2% |
| Negative | 435 |
| Negative (%) | 0.6% |
| Memory size | 1.1 MiB |
Quantile statistics
| Minimum | -inf |
|---|---|
| 5-th percentile | 3.8 |
| Q1 | 7.1428571 |
| median | 8.877551 |
| Q3 | 10.909091 |
| 95-th percentile | 19.25 |
| Maximum | inf |
| Range | inf |
| Interquartile range (IQR) | 3.7662338 |
Descriptive statistics
| Standard deviation | nan |
|---|---|
| Coefficient of variation (CV) | nan |
| Kurtosis | nan |
| Mean | nan |
| Median Absolute Deviation (MAD) | 1.8532182 |
| Skewness | nan |
| Sum | nan |
| Variance | nan |
| Monotonicity | Not monotonic |
Histogram with fixed size bins (bins=50)
| Value | Count | Frequency (%) |
| 6 | 663 | 0.9% |
| 12 | 631 | 0.9% |
| 9 | 572 | 0.8% |
| 8 | 336 | 0.5% |
| 10 | 300 | 0.4% |
| 7.5 | 278 | 0.4% |
| 18 | 241 | 0.3% |
| 8.4 | 233 | 0.3% |
| 9.6 | 219 | 0.3% |
| inf | 216 | 0.3% |
| Other values (8987) | 68717 |
| Value | Count | Frequency (%) |
| -inf | 18 | |
| -510 | 1 | < 0.1% |
| -462 | 1 | < 0.1% |
| -372 | 1 | < 0.1% |
| -348 | 1 | < 0.1% |
| -330 | 1 | < 0.1% |
| -288 | 1 | < 0.1% |
| -270 | 1 | < 0.1% |
| -264 | 2 | < 0.1% |
| -222 | 1 | < 0.1% |
| Value | Count | Frequency (%) |
| inf | 216 | |
| 678 | 1 | < 0.1% |
| 582 | 1 | < 0.1% |
| 546 | 1 | < 0.1% |
| 480 | 1 | < 0.1% |
| 468 | 1 | < 0.1% |
| 426 | 1 | < 0.1% |
| 396 | 1 | < 0.1% |
| 384 | 2 | < 0.1% |
| 378 | 1 | < 0.1% |
result
Categorical
| Distinct | 2 |
|---|---|
| Distinct (%) | < 0.1% |
| Missing | 0 |
| Missing (%) | 0.0% |
| Memory size | 1.1 MiB |
| 1 | |
|---|---|
| 0 |
Length
| Max length | 1 |
|---|---|
| Median length | 1 |
| Mean length | 1 |
| Min length | 1 |
Characters and Unicode
| Total characters | 72413 |
|---|---|
| Distinct characters | 2 |
| Distinct categories | 1 ? |
| Distinct scripts | 1 ? |
| Distinct blocks | 1 ? |
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.
Unique
| Unique | 0 ? |
|---|---|
| Unique (%) | 0.0% |
Sample
| 1st row | 0 |
|---|---|
| 2nd row | 0 |
| 3rd row | 0 |
| 4th row | 0 |
| 5th row | 0 |
Common Values
| Value | Count | Frequency (%) |
| 1 | 38062 | |
| 0 | 34351 |
Length
Histogram of lengths of the category
Common Values (Plot)
| Value | Count | Frequency (%) |
| 1 | 38062 | |
| 0 | 34351 |
Most occurring characters
| Value | Count | Frequency (%) |
| 1 | 38062 | |
| 0 | 34351 |
Most occurring categories
| Value | Count | Frequency (%) |
| Decimal Number | 72413 |
Most frequent character per category
Decimal Number
| Value | Count | Frequency (%) |
| 1 | 38062 | |
| 0 | 34351 |
Most occurring scripts
| Value | Count | Frequency (%) |
| Common | 72413 |
Most frequent character per script
Common
| Value | Count | Frequency (%) |
| 1 | 38062 | |
| 0 | 34351 |
Most occurring blocks
| Value | Count | Frequency (%) |
| ASCII | 72413 |
Most frequent character per block
ASCII
| Value | Count | Frequency (%) |
| 1 | 38062 | |
| 0 | 34351 |
Spearman's ρ
The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
Pearson's r
The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
Kendall's τ
Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
Cramér's V (φc)
Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.Phik (φk)
Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here. A simple visualization of nullity by column.
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
| match_id | city | winner | total_runs_x | inning | batting_team | bowling_team | over | ball | batsman | non_striker | bowler | is_super_over | wide_runs | bye_runs | legbye_runs | noball_runs | penalty_runs | batsman_runs | extra_runs | total_runs_y | player_dismissed | dismissal_kind | fielder | curr_score | runs_left | ball_left | wickets | curr_rr | req_rr | result | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 125 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 1 | 1 | CH Gayle | Mandeep Singh | A Nehra | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | NaN | NaN | 1 | 206 | 119 | 10 | 6.000000 | 10.386555 | 0 |
| 126 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 1 | 2 | Mandeep Singh | CH Gayle | A Nehra | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 1 | 206 | 118 | 10 | 3.000000 | 10.474576 | 0 |
| 127 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 1 | 3 | Mandeep Singh | CH Gayle | A Nehra | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 1 | 206 | 117 | 10 | 2.000000 | 10.564103 | 0 |
| 128 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 1 | 4 | Mandeep Singh | CH Gayle | A Nehra | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | NaN | NaN | 3 | 204 | 116 | 10 | 4.500000 | 10.551724 | 0 |
| 129 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 1 | 5 | Mandeep Singh | CH Gayle | A Nehra | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 0 | NaN | NaN | 7 | 200 | 115 | 10 | 8.400000 | 10.434783 | 0 |
| 130 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 1 | 6 | Mandeep Singh | CH Gayle | A Nehra | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 0 | NaN | NaN | 11 | 196 | 114 | 10 | 11.000000 | 10.315789 | 0 |
| 131 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 2 | 1 | CH Gayle | Mandeep Singh | B Kumar | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 11 | 196 | 113 | 10 | 9.428571 | 10.407080 | 0 |
| 132 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 2 | 2 | CH Gayle | Mandeep Singh | B Kumar | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 11 | 196 | 112 | 10 | 8.250000 | 10.500000 | 0 |
| 133 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 2 | 3 | CH Gayle | Mandeep Singh | B Kumar | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | NaN | NaN | 12 | 195 | 111 | 10 | 8.000000 | 10.540541 | 0 |
| 134 | 1 | Hyderabad | Sunrisers Hyderabad | 207 | 2 | Royal Challengers Bangalore | Sunrisers Hyderabad | 2 | 4 | Mandeep Singh | CH Gayle | B Kumar | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 12 | 195 | 110 | 10 | 7.200000 | 10.636364 | 0 |
| match_id | city | winner | total_runs_x | inning | batting_team | bowling_team | over | ball | batsman | non_striker | bowler | is_super_over | wide_runs | bye_runs | legbye_runs | noball_runs | penalty_runs | batsman_runs | extra_runs | total_runs_y | player_dismissed | dismissal_kind | fielder | curr_score | runs_left | ball_left | wickets | curr_rr | req_rr | result | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 149568 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 3 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | NaN | NaN | 140 | 12 | 9 | 5 | 7.567568 | 8.000000 | 0 |
| 149569 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 4 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 140 | 12 | 8 | 5 | 7.500000 | 9.000000 | 0 |
| 149570 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 5 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | NaN | NaN | 142 | 10 | 7 | 5 | 7.539823 | 8.571429 | 0 |
| 149571 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 19 | 6 | RA Jadeja | SR Watson | JJ Bumrah | 0 | 0 | 4 | 0 | 0 | 0 | 4 | 4 | 8 | 0 | NaN | NaN | 150 | 2 | 6 | 5 | 7.894737 | 2.000000 | 0 |
| 149572 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 1 | SR Watson | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | NaN | NaN | 151 | 1 | 5 | 5 | 7.878261 | 1.200000 | 0 |
| 149573 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 2 | RA Jadeja | SR Watson | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | NaN | NaN | 152 | 0 | 4 | 5 | 7.862069 | 0.000000 | 0 |
| 149574 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 3 | SR Watson | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | NaN | NaN | 154 | -2 | 3 | 5 | 7.897436 | -4.000000 | 0 |
| 149575 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 4 | SR Watson | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | run out | KH Pandya | 155 | -3 | 2 | 4 | 7.881356 | -9.000000 | 0 |
| 149576 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 5 | SN Thakur | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | NaN | NaN | 157 | -5 | 1 | 4 | 7.915966 | -30.000000 | 0 |
| 149577 | 11415 | Hyderabad | Mumbai Indians | 152 | 2 | Chennai Super Kings | Mumbai Indians | 20 | 6 | SN Thakur | RA Jadeja | SL Malinga | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | lbw | NaN | 157 | -5 | 0 | 3 | 7.850000 | -inf | 0 |
Most frequently occurring
| match_id | city | winner | total_runs_x | inning | batting_team | bowling_team | over | ball | batsman | non_striker | bowler | is_super_over | wide_runs | bye_runs | legbye_runs | noball_runs | penalty_runs | batsman_runs | extra_runs | total_runs_y | player_dismissed | dismissal_kind | fielder | curr_score | runs_left | ball_left | wickets | curr_rr | req_rr | result | # duplicates | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 0 | 7946 | Jaipur | Rajasthan Royals | 174 | 2 | Royal Challengers Bangalore | Rajasthan Royals | 10 | 1 | AB de Villiers | Mandeep Singh | I Sodhi | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 78 | 96 | 65 | 7 | 8.509091 | 8.861538 | 0 | 2 |
| 1 | 11150 | Jaipur | Rajasthan Royals | 164 | 2 | Rajasthan Royals | Royal Challengers Bangalore | 4 | 4 | JC Buttler | AM Rahane | N Saini | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 47 | 117 | 98 | 10 | 12.818182 | 7.163265 | 1 | 2 |
| 2 | 11320 | Kolkata | Chennai Super Kings | 170 | 2 | Chennai Super Kings | Kolkata Knight Riders | 1 | 6 | SR Watson | F du Plessis | P Krishna | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | NaN | NaN | 10 | 160 | 114 | 10 | 10.000000 | 8.421053 | 1 | 2 |